tracel-ai/burn · error
Can save learning agent checkpoint.
Error message
Can save learning agent checkpoint.
What it means
Guard in the RL checkpointer's `checkpoint`: saving the learning agent checkpoint for the current epoch failed, so the checkpointer panics because losing agent state breaks resume-from-checkpoint guarantees.
Source
Thrown at crates/burn-train/src/learner/rl/checkpointer.rs:50
let actions = self.strategy.checkpointing(epoch, store);
for action in actions {
match action {
CheckpointingAction::Delete(epoch) => {
self.policy
.delete(epoch)
.expect("Can delete policy checkpoint.");
self.learning_agent
.delete(epoch)
.expect("Can delete learning agent checkpoint.")
}
CheckpointingAction::Save => {
self.policy
.save(epoch, policy.clone().into_record())
.expect("Can save policy checkpoint.");
self.learning_agent
.save(epoch, learning_agent.record())
.expect("Can save learning agent checkpoint.");
}
}
}
}
/// Load a training checkpoint.
pub fn load_checkpoint(
&self,
learning_agent: RLC::LearningAgent,
epoch: usize,
) -> RLC::LearningAgent {
let record = self
.policy
.restore(epoch)
.expect("Can load model checkpoint.");
let policy = learning_agent.policy().load_record(record);
let record = selfView on GitHub (pinned to d16f7ba2ed)
Solutions
- Verify the checkpoint path is writable and has free space
- Inspect the wrapped save error for the root cause
- Ensure policy and agent records serialize with the enabled features
Defensive patterns
Strategy: retry
When it happens
Trigger: Thrown at crates/burn-train/src/learner/rl/checkpointer.rs:50 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of tracel-ai/burn@d16f7ba2ed (2026-09-05).
Data as JSON: /api/errors/42134349cc736c62.
Report an issue: GitHub.